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Optimisation d'un filtre particulaire en contexte track-before-detect

Mélanie Bocquel 1 Alexandre Lepoutre 1, 2 Olivier Rabaste 1 François Le Gland 2
2 ASPI - Applications of interacting particle systems to statistics
UR1 - Université de Rennes 1, Inria Rennes – Bretagne Atlantique , CNRS - Centre National de la Recherche Scientifique : UMR6074
Abstract : In this paper, we are concerned with the detection and tracking of a target in TBD context. We propose here an efficient particle filter based on a relevant proposal density justified by radar detection considerations. This filter performs well compared to the classical laws used in the literature, especially in terms of speed of convergence for detection. We also identify a minimum number of particles required to ensure interesting detection performance.
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Conference papers
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https://hal.inria.fr/hal-00911889
Contributor : Francois Le Gland <>
Submitted on : Sunday, December 1, 2013 - 1:49:21 AM
Last modification on : Tuesday, March 16, 2021 - 3:42:04 PM

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  • HAL Id : hal-00911889, version 1

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Mélanie Bocquel, Alexandre Lepoutre, Olivier Rabaste, François Le Gland. Optimisation d'un filtre particulaire en contexte track-before-detect. Actes du 23ème Colloque sur le Traitement du Signal et des Images, Bordeaux 2011, Sep 2011, Bordeaux, France. ⟨hal-00911889⟩

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